KmeansPDTW

sundy 教学代码演示文件 calendar(sundy teach code calendar)

说明：  循环平稳理论相关：循环互相关谱的源程序（matlab源代码）(cyclostationary related)

粒子势垒隧穿算法，与退火原理基本一样，这是解决旅行商问题的源代码。(Particle tunneling barrier algorithm, and annealing the same basic principle, which is to solve the traveling salesman problem' s source code.)

卡尔曼滤波器的演示程序 可以运行的 仅仅是演示(Kalman filter demo program can run only a demo)

本例源代码文件由用户按照书中的操作步骤自己生成，“Example-2-1Project_Navigator_Demo源代码”目录下为源代码的参考文件。“Example-2-1Project_Navigator_Democounter”目录下为完整的工程，包括源代码文件、综合与实现的结果文件、ISE工程文件等，可以使用ISE工程管理器打开工程，供读者参考(In this case the source code files by the user in accordance with the steps the book itself is generated, "Example-2-1 Project_Navigator_Demo source" directory as the source code reference document. "Example-2-1 Project_Navigator_Demo counter" directory for a complete project, including source code files, integrated with the realization of the outcome document, ISE project file, etc. You can use ISE Project Manager, open the project for the reader is referred to)

This program implements a clean version of Particle Swarm Optimization

利用matlab中自带的ＰＬＳ模块进行ＰＬＳ建模的程序代码，程序简单明了(Matlab comes PLS module PLS modeling program code, the program is simple)

一个计算单极子天线表面电流的小程序，需要调试！(a calculated monopole antenna surface currents in small procedures, require debugging!)

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

有关matlab的图像融合与图像配准程序。并附带了程序运行说明，简单明了。(About matlab image fusion and image registration procedures. And comes with a description of the program to run, plain and simple.)